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The integration of machine learning techniques has become a cornerstone in the development of intelligent urban services, significantly contributing to the enhancement of urban efficiency, sustainability, and overall livability.
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A foundation model for the Earth system
Cristian Bodnar, Wessel P Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A Weyn, Haiyu Dong, et al · 2025
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Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data
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Std-plm: Understanding both spatial and temporal properties of spatial-temporal data with plm. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 39. 11817–11825
Yiheng Huang, Xiaowei Mao, Shengnan Guo, Yubin Chen, Junfeng Shen, Tiankuo Li, Youfang Lin, and Huaiyu Wan. 2025 · 2025
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LLMLight: Large Language Models as Traffic Signal Control Agents. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Stbench: Assessing the ability of large language models in spatio-temporal analysis. In Companion Proceedings of the ACM on Web Conference 2025 . 749–752
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CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
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TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing . 12403–12429
Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, and Hao Liu. 2025 · 2025
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Tool learning with large language models: A survey
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, and Ji-Rong Wen. 2025 · 2025
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Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges. In Conference on Neural Information Processing Systems Datasets and Benchmarks Track
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AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework
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Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, and Ming Jin. 2025 · 2025
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PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, and Huaiyu Wan. 2025a · 2025
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TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
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Bigcity: A universal spatiotemporal model for unified trajectory and traffic state data analysis. In IEEE 41st International Conference on Data Engineering . IEEE, 4455–4469
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Urban planning in the age of large language models: Assessing OpenAI o1’s performance and capabilities across 556 tasks
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Urbanplanbench: A comprehensive urban planning benchmark for evaluating large language models
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PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track . 2461–2483
He Zhu, Junyou Su, Minxin Chen, Wen Wang, Yijie Deng, Guanhua Chen, and Wenjia Zhang. 2025 · 2025
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USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents. In International Conference on Learning Representations
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UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Collmlight: Cooperative large language model agents for network-wide traffic signal control. In International Conference on Learning Representations
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An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation. In Proceedings of the ACM Web Conference
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The ERA5 global reanalysis
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Deep uncertainty quantification: A machine learning approach for weather forecasting. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . 2087–2095
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